The literature show that the robustness of the different methods essentially depends on the limitations of the specific application. The most robust methods for measuring static objects are based on projecting multiple different patterns on the scene. For moving objects, the most robust measurement results are achieved with one-shot methods. The study results found that one of the most robust multiple-shot methods in the multi-camera system is based on using vertical and horizontal lines as a structured light, which yielded an accuracy of 0.02 mm when measuring a flat object, with the best repeatability occurring at 0.02 – 0.05 mm when measuring a car door. In contrast, the repeatability for large flat surfaces was 0.02 – 0.2 mm, with the worst reliability being observed near steep surfaces. This study demonstrates that epipolar lines offer an effective alternative to Gray coding for detecting corresponding points.